NYSE:RBS
Delisted
Royal Bank Scotland plc (The) Stock Price (Quote)
$2.76
+0 (+0%)
At Close: Sep 04, 2020
Range | Low Price | High Price | Comment |
---|---|---|---|
30 days | $2.76 | $2.76 | Friday, 4th Sep 2020 RBS stock ended at $2.76. During the day the stock fluctuated 0% from a day low at $2.76 to a day high of $2.76. |
90 days | $2.74 | $3.67 | |
52 weeks | $2.45 | $7.05 |
Date | Open | High | Low | Close | Volume |
Nov 19, 2019 | $5.81 | $5.83 | $5.75 | $5.79 | 1 232 515 |
Nov 18, 2019 | $5.84 | $5.84 | $5.78 | $5.83 | 1 214 345 |
Nov 15, 2019 | $5.81 | $5.87 | $5.78 | $5.79 | 1 136 069 |
Nov 14, 2019 | $5.70 | $5.75 | $5.70 | $5.72 | 1 952 611 |
Nov 13, 2019 | $5.65 | $5.73 | $5.64 | $5.69 | 1 496 365 |
Nov 12, 2019 | $5.71 | $5.75 | $5.67 | $5.71 | 1 090 877 |
Nov 11, 2019 | $5.73 | $5.78 | $5.70 | $5.74 | 1 669 990 |
Nov 08, 2019 | $5.49 | $5.52 | $5.45 | $5.48 | 1 155 132 |
Nov 07, 2019 | $5.57 | $5.59 | $5.55 | $5.55 | 1 221 894 |
Nov 06, 2019 | $5.52 | $5.61 | $5.49 | $5.57 | 1 789 479 |
Nov 05, 2019 | $5.65 | $5.66 | $5.59 | $5.62 | 1 495 175 |
Nov 04, 2019 | $5.65 | $5.66 | $5.61 | $5.63 | 2 067 908 |
Nov 01, 2019 | $5.56 | $5.65 | $5.54 | $5.63 | 3 116 364 |
Oct 31, 2019 | $5.57 | $5.58 | $5.51 | $5.55 | 1 488 739 |
Oct 30, 2019 | $5.50 | $5.60 | $5.46 | $5.55 | 1 984 089 |
Oct 29, 2019 | $5.62 | $5.69 | $5.60 | $5.66 | 1 826 397 |
Oct 28, 2019 | $5.74 | $5.78 | $5.72 | $5.75 | 1 396 192 |
Oct 25, 2019 | $5.74 | $5.81 | $5.72 | $5.80 | 1 407 692 |
Oct 24, 2019 | $5.88 | $5.90 | $5.73 | $5.82 | 2 177 327 |
Oct 23, 2019 | $6.13 | $6.14 | $6.01 | $6.07 | 2 600 785 |
Oct 22, 2019 | $6.17 | $6.27 | $6.10 | $6.15 | 3 075 385 |
Oct 21, 2019 | $6.28 | $6.32 | $6.21 | $6.25 | 2 162 802 |
Oct 18, 2019 | $6.02 | $6.18 | $6.01 | $6.13 | 2 819 338 |
Oct 17, 2019 | $6.00 | $6.06 | $5.90 | $5.93 | 2 747 730 |
Oct 16, 2019 | $5.94 | $5.95 | $5.86 | $5.88 | 4 277 167 |
FAQ
What are historical stock prices?
Historical stock prices refer to a stock’s recorded prices at various past points. These prices include several key figures that help investors and analysts evaluate a stock’s performance over time:
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.
Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.
Open: Open price for the trading day.
High: Highest price for the trading day.
Low: Lowest price for the trading day.
Close: Close price for the trading day.
Additionally, historical prices often include:
Volume is the number of shares traded during the day. It indicates how actively a stock was traded and can provide insights into market sentiment and liquidity.
How can I use RBS stock historical prices to predict future price movements?
Trend Analysis: Examine the RBS stock’s historical trends to identify patterns that might continue.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.
Moving Averages: Use moving averages to detect potential reversal points.
Momentum Indicators: Apply indicators like RSI or MACD to assess the momentum and strength of price movements.
Volume Analysis: Analyze trading volume alongside price changes to gauge trend strength.
Statistical Methods: Use statistical tools such as regression analysis to model and forecast future prices based on past data.
These techniques can provide insights but should be used with risk management practices to mitigate potential losses.
What impact do stock splits have on historical price data?
When a company performs a stock split, it adjusts the historical price data to reflect the new, lower trading price as if it had always been that way.
This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.
A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.
This ensures consistency for anyone analyzing the stock’s past prices. The adjustment helps prevent misleading signals on charts, such as false sell signals or bearish trends that aren’t there. For instance, in a 2-for-1 stock split, the price per share is cut in half, which would otherwise appear as a dramatic drop on the chart. If someone didn’t know about the split, they might wrongly think something negative happened to the company. Most technical indicators would also react to this apparent drop by signaling to sell.
A stock split, while making the shares seem more affordable and potentially more attractive to investors, doesn’t alter the company’s fundamental value.
Why do the RBS stock historical prices show a range for periods like 30 days, 90 days, and 52 weeks?
The range provides the lowest and highest prices at which the stock has traded during the specified period. This helps investors understand the stock’s volatility and price variability within that timeframe.
How can I use historical price volatility to assess risk?
High price volatility historically indicates higher risk and potentially higher returns. Investors can gauge the stock’s risk level by examining the range between high and low prices over various periods.